TY - JOUR
T1 - Secure Transmission of Delay-Sensitive Data over Wireless Fading Channels
AU - Ozmen, Mustafa
AU - Cenk Gursoy, Mc
N1 - Funding Information:
Manuscript received September 21, 2016; revised February 6, 2017; accepted March 9, 2017. Date of publication April 12, 2017; date of current version June 14, 2017. This work was supported by the National Science Foundation under Grant CCF-1618615, Grant ECCS-1443994, and Grant CNS-1443966. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Lifeng Lai. (Corresponding author: M. Cenk Gursoy.) The authors are with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244 USA (e-mail: mozmen@syr.edu; mcgursoy@syr.edu).
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2017/9
Y1 - 2017/9
N2 - In this paper, throughput and energy efficiency of secure wireless transmission of delay sensitive data generated by random sources is studied. A fading broadcast model in which the transmitter sends confidential and common messages to two receivers is considered. It is assumed that the common and confidential data, generated from Markovian sources, are stored in buffers prior to transmission, and the transmitter operates under constraints on buffer/delay violation probability. Under such statistical quality-of-service constraints, effective capacity of time-varying wireless transmissions and effective bandwidth of Markovian sources are employed to determine the throughput. In particular, secrecy capacity is used to describe the service rate of buffers containing confidential messages. Moreover, energy per bit is used as the energy efficiency metric and energy efficiency is studied in the low signal-To-noise regime. Specifically, minimum energy per bit required for the reliable communication of common and confidential messages is determined and wideband slope expressions are identified. The impact of buffer/delay constraints, correlation between channels, source characteristics/burstiness, channel knowledge at the transmitter, power allocation, and secrecy requirements on the throughput and energy efficiency of common and confidential message transmissions is identified.
AB - In this paper, throughput and energy efficiency of secure wireless transmission of delay sensitive data generated by random sources is studied. A fading broadcast model in which the transmitter sends confidential and common messages to two receivers is considered. It is assumed that the common and confidential data, generated from Markovian sources, are stored in buffers prior to transmission, and the transmitter operates under constraints on buffer/delay violation probability. Under such statistical quality-of-service constraints, effective capacity of time-varying wireless transmissions and effective bandwidth of Markovian sources are employed to determine the throughput. In particular, secrecy capacity is used to describe the service rate of buffers containing confidential messages. Moreover, energy per bit is used as the energy efficiency metric and energy efficiency is studied in the low signal-To-noise regime. Specifically, minimum energy per bit required for the reliable communication of common and confidential messages is determined and wideband slope expressions are identified. The impact of buffer/delay constraints, correlation between channels, source characteristics/burstiness, channel knowledge at the transmitter, power allocation, and secrecy requirements on the throughput and energy efficiency of common and confidential message transmissions is identified.
KW - Common and confidential messages
KW - Markovian arrivals
KW - effective bandwidth
KW - effective capacity
KW - energy efficiency
KW - fading broadcast channel
KW - secrecy capacity
KW - statistical buffer/delay QoS constraints
KW - throughput
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U2 - 10.1109/TIFS.2017.2692749
DO - 10.1109/TIFS.2017.2692749
M3 - Article
AN - SCOPUS:85028302312
SN - 1556-6013
VL - 12
SP - 2036
EP - 2051
JO - IEEE Transactions on Information Forensics and Security
JF - IEEE Transactions on Information Forensics and Security
IS - 9
M1 - 7895214
ER -